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IDEA · 03 · Exploring · Devops

AI Backend Platform for AI Coding Assistants

Why it's relevant

The problem

Today, building a real application requires connecting many different services.

For example, a developer or AI agent might need:

Authentication

Database

File Storage

Email

Payments

AI APIs

Deployment

Custom Domains

Each service has its own API, documentation, authentication method, pricing, dashboard, and configuration.

While AI can generate application code, it still spends a lot of time configuring infrastructure instead of building features.


Questions this project tries to answer

What is the minimum backend every application needs?

Can AI build an entire application without leaving one platform?

How can infrastructure become AI-first instead of human-first?

Can one API replace dozens of SDKs?

How much faster could application development become?

Target users

Cursor users

Claude Code users

ChatGPT developers

AI agents

Indie hackers

Startup founders

Possible features

Database

Authentication

OAuth

File Storage

Object Storage

Email

Payments

AI Models

Vector Database

Search

Realtime

Background Jobs

Cron Jobs

Deployment

Domains

SSL

Logs

Analytics

Secrets Management

Environment Variables

CLI

MCP Server

SDK

REST API

Challenges

Vendor lock-in

Scaling infrastructure

Security

Pricing

Reliability

Multi-tenancy

Permissions

Cost optimization

API consistency